EEG-Based Brain-Computer Interfaces Are Vulnerable to Backdoor Attacks

Meng, L Huang, J Zeng, Z Jiang, X Yu, S Jung, T-P Lin, C-T Chavarriaga, R Wu, D

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Field	Value	Language
dc.contributor.author	Meng, L
dc.contributor.author	Huang, J
dc.contributor.author	Zeng, Z
dc.contributor.author	Jiang, X
dc.contributor.author	Yu, S
dc.contributor.author	Jung, T-P
dc.contributor.author	Lin, C-T
dc.contributor.author	Chavarriaga, R
dc.contributor.author	Wu, D
dc.date.accessioned	2021-03-16T00:42:30Z
dc.date.available	2021-03-16T00:42:30Z
dc.date.issued	2020-10-30
dc.identifier.citation	arXiv, 2020
dc.identifier.uri	http://hdl.handle.net/10453/147209
dc.language	en
dc.relation.ispartof	arXiv
dc.rights	info:eu-repo/semantics/openAccess
dc.title	EEG-Based Brain-Computer Interfaces Are Vulnerable to Backdoor Attacks
dc.type	Preprint
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Strength - AAII - Australian Artificial Intelligence Institute
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Computer Science
utslib.copyright.status	open_access	*
dc.date.updated	2021-03-16T00:42:28Z

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